| track ID | date | duration (h) | length (km) | N points | N tags |
|---|---|---|---|---|---|
| C1 | 2023-10-05 | 0.73 | 3.33 | 1259 | 3 |
| C2 | 2023-10-09 | 2.99 | 10.59 | 5371 | 4 |
| C3 | 2023-10-10 | 3.00 | 11.74 | 5401 | 4 |
| Ctest | 2023-10-13 | 1.05 | 5.07 | 1744 | 4 |
| D1 | 2023-09-07 | 4.32 | 7.30 | 3406 | 3 |
| D2 | 2023-09-16 | 1.81 | 3.30 | 3219 | 3 |
| D3 | 2023-09-28 | 2.36 | 6.63 | 4250 | 3 |
| Dtest | 2023-09-13 | 1.47 | 3.96 | 2646 | 3 |
Figure 1.1: Exemplified calculation of detection probability (left) and station cover (summed up detection probabilities across all stations, right) for directional antennas in maisC. Copyright map data: OpenStreetMap contributors
Figure 2.1: Position errors (PE) of estimated positions per testtrack (columns) and method (rows) for a test transmitter at 0.5 m above ground in maisC. Ground-truth positions are displayed and colored by PE. Positions that could not be estimated are colored in gray. Note the log10 scaling of the PE color scale.
Figure 2.2: Position errors (PE) of estimated positions per testtrack (columns) and method (rows) for a test transmitter at 1 m above ground in maisC. Ground-truth positions are displayed and colored by PE. Positions that could not be estimated are colored in gray. Note the log10 scaling of the PE color scale.
Figure 2.3: Position errors (PE) of estimated positions per testtrack (columns) and method (rows) for a test transmitter at 1.5 m above ground in maisC. Ground-truth positions are displayed and colored by PE. Positions that could not be estimated are colored in gray. Note the log10 scaling of the PE color scale.
Figure 2.4: Position errors (PE) of estimated positions per testtrack (columns) and method (rows) for a test transmitter at 2 m above ground in maisC. Ground-truth positions are displayed and colored by PE. Positions that could not be estimated are colored in gray. Note the log10 scaling of the PE color scale.
Figure 2.5: Position errors (PE) of estimated positions per testtrack (columns) and method (rows) for a test transmitter at 0.5 m above ground in maisD. Ground-truth positions are displayed and colored by PE. Positions that could not be estimated are colored in gray. Note the log10 scaling of the PE color scale.
Figure 2.6: Position errors (PE) of estimated positions per testtrack (columns) and method (rows) for a test transmitter at 1 m above ground in maisD. Ground-truth positions are displayed and colored by PE. Positions that could not be estimated are colored in gray. Note the log10 scaling of the PE color scale.
Figure 2.7: Position errors (PE) of estimated positions per testtrack (columns) and method (rows) for a test transmitter at 1.5 m above ground in maisD. Ground-truth positions are displayed and colored by PE. Positions that could not be estimated are colored in gray. Note the log10 scaling of the PE color scale.
Figure 2.8: Correlations between predictors (Ac = number of receiving antennas, Sc = number of receiving stations, cover = station cover (proxy for detection probability), maxSig = maximum received signal (dB), Weight = summed up normalized signals), including correlation coefficients (upper panels) and histograms (diagonal panels) for directional antenna beams in maisC.
Figure 2.9: Correlations between predictors (Ac = number of receiving antennas, Sc = number of receiving stations, cover = station cover (proxy for detection probability), maxSig = maximum received signal (dB), Weight = summed up normalized signals), including correlation coefficients (upper panels) and histograms (diagonal panels) for directional antenna beams in maisD.
Figure 2.10: Correlations between predictors (Sc = number of receiving stations, cover = station cover (proxy for detection probability), maxSig = maximum received signal (dB)), including correlation coefficients (upper panels) and histograms (diagonal panels) for directional intersection in maisC.
Figure 2.11: Correlations between predictors (Sc = number of receiving stations, cover = station cover (proxy for detection probability), maxSig = maximum received signal (dB)), including correlation coefficients (upper panels) and histograms (diagonal panels) for directional intersection in maisD.
Figure 2.12: Correlations between predictors (Sc = number of receiving stations, cover = station cover (proxy for detection probability), maxSig = maximum received signal (dB), Weight = summed up normalized signals), including correlation coefficients (upper panels) and histograms (diagonal panels) for omnidirectional antenna beams in maisC.
Figure 2.13: Correlations between predictors (Sc = number of receiving stations, cover = station cover (proxy for detection probability), maxSig = maximum received signal (dB)), including correlation coefficients (upper panels) and histograms (diagonal panels) for omnidirectional multilateration in maisC.
Figure 2.14: Predicted mean PE (pPE, based on 4000 simulated datasets) from the global model, namely the median pPE (point) including 50 % (thick bar) and 95 % CI (thin bar), as well as the distribution (polygon, only center and bottom panels) for all present combinations of Ac-Sc per site and method. For predictions, maxSig, (weight) and cover were set to their respective raw data mean per Ac-Sc combination.
Figure 2.15: Predicted median PE (pPE50, based on 4000 simulated datasets) from the global model, namely the median estimated 50% quantile of PE (point) including 50 % (thick bar) and 95 % CI (thin bar), as well as the distribution (polygon, only center and bottom panels) for all present combinations of Ac-Sc per site and method. For predictions, maxSig, (weight) and cover were set to their respective raw data mean per Ac-Sc combination.
Figure 2.16: Predicted 65% quantile of PE (pPE65, based on 4000 simulated datasets) from the global model, namely the median estimated 65% quantile of PE (point) including 50 % (thick bar) and 95 % CI (thin bar), as well as the distribution (polygon, only center and bottom panels) for all present combinations of Ac-Sc per site and method. For predictions, maxSig, (weight) and cover were set to their respective raw data mean per Ac-Sc combination.